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The design of an optimized planar dipole array (OPDA) antenna is presented using particle swarm optimization (PSO), a well-known global optimization method. The planar dipole array (PDA) elements' lengths and widths and the spacing between them were the optimization parameters, and the antenna input's VSWR and gain were optimization goals. In the optimization procedure, the fitness functions were...
In many applications it is desirable to have the maximum radiation of an array directed normal to the axis of the array. In this paper, the broadside radiation patterns of three-ring Concentric Circular Antenna Arrays (CCAA) with central element feeding are reported. For each optimal synthesis, optimal current excitation weights and optimal radii of the rings are determined having the objective of...
In this article we describe an optimization-based design method for non-uniform, planar, and circular antenna arrays with the objective of achieving minimum side lobe levels for a specific first null beamwidth and also a minimum size of the circumference. Central to our design is a hybridization of two prominent metaheuristics of current interest namely the Invasive Weed Optimization (IWO) and the...
Smart antennas present a promising solution to the present day capacity and coverage shortage in mobile wireless communications. These intelligent antennas when used at the base station can avoid a lot of interference by transmitting and receiving signals only in desired directions. Circular array antennas have gained popularity among various antenna configurations used for direction agile applications...
This paper presents the extension of the meta particle swarm optimization (Meta-PSO) evolutionary algorithms to the multi-objective optimization of electromagnetic structures. Particle swarm optimization (PSO) is a global stochastic optimization technique in which the parameter space of the function to be optimized is spanned by particles whose behavior simulates that of a swarm. In the standard PSO...
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